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Agent Skills

Agent-Skills.md is a agent skills marketplace, to find the right agent skills for you.

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constraint-generalization

Generalization and composition of constraints across navigators

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condensed-analytic-stacks

Scholze-Clausen condensed mathematics bridge to sheaf neural networks via 6-functor formalism

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analyzing-ios-app-security-with-objection

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analyzing-indicators-of-compromise

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analyzing-heap-spray-exploitation

Detect and analyze heap spray attacks in memory dumps using Volatility3 plugins to identify NOP sled patterns, shellcode landing zones, and suspicious large allocations in process virtual address space.

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analyzing-golang-malware-with-ghidra

Reverse engineer Go-compiled malware using Ghidra with specialized scripts for function recovery, string extraction, and type reconstruction in stripped Go binaries.

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analyzing-ethereum-smart-contract-vulnerabilities

Perform static and symbolic analysis of Solidity smart contracts using Slither and Mythril to detect reentrancy, integer overflow, access control, and other vulnerability classes before deployment to Ethereum mainnet.

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analyzing-email-headers-for-phishing-investigation

Parse and analyze email headers to trace the origin of phishing emails, verify sender authenticity, and identify spoofing through SPF, DKIM, and DMARC validation.

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analyzing-docker-container-forensics

Investigate compromised Docker containers by analyzing images, layers, volumes, logs, and runtime artifacts to identify malicious activity and evidence.

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analyzing-dns-logs-for-exfiltration

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sheaf-laplacian-coordination

Sheaf neural network coordination via graph Laplacians for distributed consensus and harmonic inference. Use when coordinating multi-agent systems, building sheaf-aware GNNs, or implementing distributed consensus protocols.

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cognitive-superposition

Cognitive superposition synthesizing Riehl (∞-categories), Sutskever (compression), Schmidhuber (curiosity-driven), and Bengio (GFlowNets) into unified ASI framework with quantum-inspired measurement collapse.

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curiosity-driven

Schmidhuber's curiosity-driven learning: Intrinsic motivation via compression progress. Seek states that improve world model.

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deepwiki-mcp

DeepWiki MCP server for AI-powered GitHub repository documentation and Q&A

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dialectica

Dialectica Skill (ERGODIC 0)

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directed-interval

Directed interval type 2 axiomatizing (0 → 1). Time-directed homotopy for reactions.

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forward-forward-learning

Hinton's Forward-Forward algorithm for local learning without backpropagation. Use for biologically plausible learning, on-chip training, memory-efficient networks, or parallel layer-wise training.

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free-monad-gen

Free Monad Generation Skill (PLUS +1)

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gflownet

Bengio's GFlowNets: Generative Flow Networks that sample proportionally to reward. Diversity over maximization for causal discovery and molecule design.

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godel-machine

Schmidhuber's Gödel Machine: Self-improving systems that prove their own improvements. Darwin Gödel Machine (DGM) combines evolution with formal verification.

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ihara-zeta

Ihara zeta function for graphs: non-backtracking walks, prime cycles, and spectral analysis via det(I - uB).

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jaxlife-open-ended

JaxLife open-ended agentic simulator for emergent behavior, tool use, and cultural accumulation. Use for artificial life simulations, emergent agent behavior, and open-ended evolution research.

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kan-extensions

Kan Extensions Skill (ERGODIC 0)

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kolmogorov-compression

Kolmogorov complexity as the ultimate intelligence measure. Shortest program that outputs data.

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localsend-mcp

LocalSend-based P2P transfer with MCP server design for NATS/Tailscale discovery and throughput tuning.

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moebius-inversion

Möbius inversion on posets and lattices: alternating sums, chromatic polynomials, incidence algebras, and centrality predicates.

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open-games

Open Games Skill (ERGODIC 0)

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operad-compose

Operad Composition Skill (PLUS +1)

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parallel-fanout

Metaskill that fans out on every interaction, using interaction entropy as SplitMixTernary seed for maximum synergistic parallelism

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persistent-homology

Topological data analysis for stable feature verification across filtrations of code complexity.

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ramanujan-expander

Ramanujan graphs and Alon-Boppana spectral optimality for edge growth rules. Optimal expanders with λ₂ ≤ 2√(d-1) bound.

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rezk-types

Rezk types (complete Segal spaces). Local univalence: categorical isomorphisms ≃ type-theoretic identities.

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segal-types

Segal types for synthetic ∞-categories. Binary composites exist uniquely up to homotopy. Foundation for topological chemputer.

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self-evolving-agent

Darwin Gödel Machine patterns for self-improving AI agents with open-ended code evolution. Use for building agents that autonomously improve their own capabilities, modify their codebases, and evolve through interaction.

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sheaf-cohomology

Čech cohomology for local-to-global consistency verification in code structure and data schemas.

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temporal-coalgebra

Coalgebraic observation of derivation streams with final coalgebra bisimulation for infinite trace verification.

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topos-generate

Topos Generation Skill (PLUS +1)

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yoneda-directed

Directed Yoneda lemma as directed path induction. Riehl-Shulman's key insight for synthetic ∞-categories.

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CQ-AI: Deterministic Security Scanning with Ternary Polarity

Code Query with AI-enhanced deterministic analysis via SplitMix ternary classification

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Skill Maker: AI Skill Factory for Tools

Meta-skill that generates domain-specific AI skills from tool documentation

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bdd-mathematical-verification

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tailscale-file-transfer

Tailscale mesh VPN file transfer with open games semantics (play/coplay) and bidirectional lens optics

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acsets-relational-thinking

ACSets (Attributed C-Sets) for categorical database design and DPO rewriting

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assembly-index

Lee Cronin's Assembly Theory for molecular complexity measurement and life detection via assembly index computation.

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compression-progress

Schmidhuber's compression progress as intrinsic curiosity reward for learning systems.

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covariant-fibrations

Riehl-Shulman covariant fibrations for dependent types over directed intervals in synthetic ∞-categories.

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crn-topology

Chemical Reaction Network topology for generating and analyzing reaction graph structures.

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duckdb-temporal-versioning

Temporal versioning and interaction history with time-travel queries, causality tracking, and deterministic replay

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elements-infinity-cats

Elements of ∞-Category Theory (Riehl-Verity) for foundational ∞-categorical constructions and model-independence.

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mcp-tripartite

SKILL: MCP Tripartite Integration

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Adoption

Agent Skills are supported by leading AI development tools.

FAQ

Frequently asked questions about Agent Skills.

01

What are Agent Skills?

Agent Skills are reusable, production-ready capability packs for AI agents. Each skill lives in its own folder and is described by a SKILL.md file with metadata and instructions.

02

What does this agent-skills.md site do?

Agent Skills is a curated directory that indexes skill repositories and lets you browse, preview, and download skills in a consistent format.

03

Where are skills stored in a repo?

By default, the site scans the skills/ folder. You can also submit a URL that points directly to a specific skills folder.

04

What is required inside SKILL.md?

SKILL.md must include YAML frontmatter with at least name and description. The body contains the actual guidance and steps for the agent.

05

How can I submit a repo?

Click Submit in the header and paste a GitHub URL that points to a skills folder. We’ll parse it and add any valid skills to the directory.